Milling cutter condition monitoring using machine learning approach AD Patange, R Jegadeeshwaran, NC Dhobale IOP Conference Series: Materials Science and Engineering 624 (1), 012030, 2019 | 43 | 2019 |
Supervision of Milling Tool Inserts Using Conventional and Artificial Intelligence Approach: A Review. N Dhobale, S Mulik, R Jegadeeshwaran, A Patange Sound & Vibration 55 (2), 2021 | 12 | 2021 |
Multipoint milling tool supervision using artificial neural network approach N Dhobale, S Mulik, R Jegdeeshwaran, K Ganer Materials Today: Proceedings 45, 1898-1903, 2021 | 8 | 2021 |
Naïve Bayes and Bayes net classifier for fault diagnosis of end mill tool using wavelet analysis: A comparative study N Dhobale, SS Mulik, SP Deshmukh Journal of Vibration Engineering & Technologies 10 (5), 1721-1735, 2022 | 6 | 2022 |
The Use of Artificial Intelligence-Based Models for Biomedical Application S Mulik, N Dhobale, K Pujari, K Karande Artificial Intelligence, Internet of Things (IoT) and Smart Materials for …, 2022 | | 2022 |